Schedule
| Week Date | Lectures | Homework | Projects |
|---|---|---|---|
| Week 1 Jan 21 2026 |
Introduction [Introduction] | HW0 | PJ0 |
| Week 2 Jan 28 2026 |
Search [Search I] [Search II] | HW1 | PJ1 |
| Week 3 Feb 4 2026 |
Constraint Satisfaction Problems | HW2 | |
| Week 4 Feb 11 2026 |
Adversarial Search | HW3 | PJ2 |
| Week 5 Feb 18 2026 |
Markov Decision Processes | HW4 | |
| Week 6 Feb 25 2026 |
Reinforcement Learning | HW5 | PJ3 |
| Week 7 Mar 4 2026 |
Probability and Bayes Nets: Representation | ||
| Week 8 Mar 11 2026 |
Spring Recess No Classes | ||
| Week 9 Mar 18 2026 |
Bayesian Networks: Independence and Inference | HW6 | |
| Week 10 Mar 25 2026 |
Bayesian Networks: Sampling, Decision Networks and VPI | HW7 | PJ4 |
| Week 11 Apr 1 2026 |
Hidden Markov Models and Particle filtering | HW8 | |
| Week 12 Apr 8 2026 |
Machine Learning: Naive Bayes | PJ5 | |
| Week 13 Apr 15 2026 |
Machine Learning: Perceptrons and Logistic Regression, Kernels and Clustering | HW9 | |
| Week 14 Apr 22 2026 |
Machine Learning: Neural Networks | HW10 | PJ6 |
| Week 15 Apr 29 2026 |
Advanced Applications: Games & Robotics and Conclusions | ||
| Week 16 May 6 2026 |
Reading Day and Examination Period |